Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete

Impact behaviour of fly ash and slag-based geopolymeric concrete: The effects of recycled aggregate content, water-binder ratio and curing age

(2022) Jianhe Xie et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of mechanical and durability characteristics of concrete including slag and recycled aggregate concrete with artificial neural networks (ANNs)

(2022) Mostafa Amiri et al.   CONSTRUCTION AND BUILDING MATERIALS

RSM-based optimized mix design of recycled aggregate concrete containing supplementary cementitious materials based on waste generation and global warming potential

(2021) Alireza Habibi et al.   RESOURCES CONSERVATION AND RECYCLING

Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach

(2021) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

A Comprehensive Review on Recycled Aggregate and Recycled Aggregate Concrete

(2021) Bo Wang et al.   RESOURCES CONSERVATION AND RECYCLING

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

(2021) Davide Chicco et al.   PeerJ Computer Science

Prediction model for compressive arch action capacity of RC frame structures under column removal scenario using gene expression programming

(2020) Iftikhar Azim et al.   Structures

Prediction of chloride diffusivity in concrete using artificial neural network: Modelling and performance evaluation

(2020) Qing-feng Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Attitude towards sustainability, study contents and the use of recycled concrete in building construction - case study Germany and Switzerland

(2020) Dmytro Katerusha   JOURNAL OF CLEANER PRODUCTION

Individual Tree Diameter Growth Models of Larch–Spruce–Fir Mixed Forests Based on Machine Learning Algorithms

(2019) Qiangxin Ou et al.   Forests

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

(2019) Jian Zhou et al.   Applied Sciences-Basel

Prediction of compressive strength and portland cement composition using cross-validation and feature ranking techniques

(2019) Vinay Vakharia et al.   CONSTRUCTION AND BUILDING MATERIALS

A comparison of machine learning methods for predicting the compressive strength of field-placed concrete

(2019) M.A. DeRousseau et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

Effects of deicers on the performance of concrete pavements containing air-cooled blast furnace slag and supplementary cementitious materials

(2018) Kho Pin Verian et al.   CEMENT & CONCRETE COMPOSITES

Compressive strength prediction of recycled concrete based on deep learning

(2018) Fangming Deng et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of age on the compressive strength of ultra-high-performance fiber-reinforced concrete

(2018) Masoud Pourbaba et al.   CONSTRUCTION AND BUILDING MATERIALS

Estimation of the content of ground granulated blast furnace slag and different pozzolanas in hardened concrete

(2018) Johannes Pfingsten et al.   CONSTRUCTION AND BUILDING MATERIALS

Development of sustainable concrete using recycled coarse aggregate and ground granulated blast furnace slag

(2018) R.K. Majhi et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of slag cement on the properties of ultra-high performance concrete

(2018) Zhichao Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models

(2018) Aliakbar Gholampour et al.   NEURAL COMPUTING & APPLICATIONS

An Investigation on Mechanical and Physical Properties of Recycled Coarse Aggregate (RCA) Concrete with GGBFS

(2017) Muzaffer Mansur Tüfekçi et al.   International Journal of Civil Engineering

Green Concrete with High-Volume Fly Ash and Slag with Recycled Aggregate and Recycled Water to Build Future Sustainable Cities

(2017) Mohamed Elchalakani et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Portland slag and composites cement concretes: engineering and durability properties

(2016) Şevket Can Bostancı et al.   JOURNAL OF CLEANER PRODUCTION

Carbonation behaviour of recycled aggregate concrete

(2015) R.V. Silva et al.   CEMENT & CONCRETE COMPOSITES

Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm

(2015) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Rheological behaviour of concrete made with fine recycled concrete aggregates – Influence of the superplasticizer

(2015) F. Cartuxo et al.   CONSTRUCTION AND BUILDING MATERIALS

Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

(2013) Min-Yuan Cheng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Influence of self-healing, mixing method and adding silica fume on mechanical properties of recycled aggregates concrete

(2012) Ali Abd Elhakam et al.   CONSTRUCTION AND BUILDING MATERIALS

Enhancing the durability properties of concrete prepared with coarse recycled aggregate

(2012) S.C. Kou et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Durability of recycled aggregate concrete

(2012) C. Thomas et al.   CONSTRUCTION AND BUILDING MATERIALS

Recent studies on mechanical properties of recycled aggregate concrete in China—A review

(2012) JianZhuang Xiao et al.   Science China-Technological Sciences

Comparisons of natural and recycled aggregate concretes prepared with the addition of different mineral admixtures

(2011) Shi-cong Kou et al.   CEMENT & CONCRETE COMPOSITES

Beneficial use of recycled materials in concrete mixtures

(2011) Patrick L. Maier et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical and durability properties of concrete using contaminated recycled aggregates

(2010) Farid Debieb et al.   CEMENT & CONCRETE COMPOSITES

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

(2010) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Influence of field recycled coarse aggregate on properties of concrete

(2010) M. Chakradhara Rao et al.   MATERIALS AND STRUCTURES

Recycled Concrete as Aggregate for Structural Concrete Production

(2010) Mirjana Malešev et al.   Sustainability

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Compressive Strength and Rapid Chloride Permeability of Concretes with Ground Fly Ash and Slag

(2009) Ozkan Sengul et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Mechanical activation of granulated blast furnace slag and its effect on the properties and structure of portland slag cement

(2008) Sanjay Kumar et al.   CEMENT & CONCRETE COMPOSITES

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

(2008) Mustafa Sarıdemir et al.   CONSTRUCTION AND BUILDING MATERIALS

Evolution of mechanical properties of concrete containing ground granulated blast furnace slag and effects on the scaling resistance test at 28days

(2007) S.E. Chidiac et al.   CEMENT & CONCRETE COMPOSITES

Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE